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- Tasks: Build and maintain data pipelines for a world-class trading platform.
- Company: Join an innovative energy trading company with a dynamic culture.
- Benefits: 38 days holiday, health insurance, gym membership, and a £5000 learning budget.
- Why this job: Make a real impact in the fast-paced world of trading and data science.
- Qualifications: Experience in data engineering, Python, SQL, and cloud technologies.
- Other info: Collaborative environment with excellent career growth and diverse team.
The predicted salary is between 36000 - 60000 £ per year.
We are an energy trading company generating liquidity across global commodities markets. We combine deep trading expertise with proprietary technology and the power of data science to be the best-in-class. Our understanding of volatile, data-intensive markets is a key part of our edge.
At Dare, you will be joining a team of ambitious individuals who challenge themselves and each other. We have a culture of empowering exceptional people to become the best version of themselves.
The Data Engineer role is a unique opportunity to help build a world-class trading platform. You will be responsible for delivering products for our internal customers, designing, implementing, and maintaining complex data pipelines and infrastructure that will give our traders a competitive edge. The Data Engineer will be required to build relationships and collaborate with key stakeholders.
Responsibilities include:
- Architect and implement efficient data pipelines that enable our Quants, ML, Analytics and Operations teams to quickly build solutions without having to spend considerable time wrangling with data.
- Evaluate new technologies and tools, and contribute to the continuous improvement of our data ecosystem.
- Support the design and development of a scalable, modular, and maintainable Data Platform, using our key technologies, NATs, Snowflake, Prefect, running on Kubernetes in our AWS cloud environments.
- Assist with building our Data Platform and solve complex data problems to deliver insights, helping to build our trading data platform.
What You Will Bring:
- Proven experience as a Data Engineer/Data Scientist, with a strong portfolio of building real-time data systems using modern approaches.
- Extensive experience with Python, including open-source data libraries and frameworks such as Pandas and messaging systems, along with proficiency in building out modern data warehouses.
- Proficient with SQL.
- Good understanding of cloud-based warehouses (e.g. Snowflake, BigQuery).
- Experience with AWS, including S3, IAM, RDS, and Kubernetes and Terraform.
- Experience working with Analytics teams that provide in-depth analytics reporting capabilities across the business.
Desirable:
- Understanding of trading platforms / financial markets.
- Working with third-party data providers and ingesting real-time trading data feeds.
- Knowledge of Postgresql.
Benefits & perks:
- Vitality health insurance and dental cover
- 38 days of holiday (including bank holidays)
- Pension scheme
- Annual Bluecrest health checks
- A personal learning & development budget of £5000
- Free gym membership
- Specsavers vouchers
- Enhanced family leave
- Cycle to Work scheme
- Credited Deliveroo dinner account
- Office massage therapy
- Freshly served office breakfast twice a week
- Fully stocked fridge and pantry
- Social events and a games room
Diversity matters: We believe in a workplace where our people can fulfil their potential, whatever their background or whomever they are. We celebrate the breadth of experience and see this as critical to problem-solving and to Dare thriving as a business. Our culture rewards curiosity and drive, so the best ideas triumph and everyone here can make an impact.
Please let us know ahead of the interview and testing processes if you require any reasonable adjustments or assistance during the application process.
We are also proud to be certified a 'Great Place to Work'.
Data Engineer Tech - Development · London employer: Dare
Contact Detail:
Dare Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer Tech - Development · London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at a company you're interested in. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those involving data pipelines or real-time systems. Share it during interviews to give them a taste of what you can do.
✨Tailor Your Approach
When you’re reaching out to potential employers, make sure to tailor your message. Highlight how your skills align with their needs, especially in areas like cloud technologies or data platforms. Personalisation shows you’re genuinely interested!
✨Apply Through Our Website
We love seeing applications come through our website! It’s a great way to ensure your application gets noticed. Plus, you can easily keep track of your application status and any updates we might have.
We think you need these skills to ace Data Engineer Tech - Development · London
Some tips for your application 🫡
Show Off Your Skills: When you're writing your application, make sure to highlight your experience with data pipelines and the technologies mentioned in the job description. We want to see how your skills can help us build that world-class trading platform!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Data Engineer role. We love seeing candidates who take the initiative to connect their experience with what we’re looking for.
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that get straight to the heart of your experience and how it relates to our needs. Avoid fluff and focus on what makes you a great fit for us!
Apply Through Our Website: Make sure to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re serious about joining our team at Dare!
How to prepare for a job interview at Dare
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, SQL, and AWS. Brush up on your knowledge of data pipelines and cloud-based warehouses, as these will likely come up during technical questions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex data problems. Think about how you’ve built or improved data systems in the past, and be ready to explain your thought process and the impact of your solutions.
✨Understand the Business Context
Familiarise yourself with the energy trading sector and how data plays a role in it. Being able to connect your technical skills to the business objectives will show that you understand the bigger picture and can contribute effectively.
✨Build Relationships
Since collaboration is key in this role, think about how you can demonstrate your ability to work with different teams. Prepare examples of how you’ve successfully collaborated with stakeholders in previous roles, highlighting your communication skills.
